Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks
The Cross-Lingual Transfer Matrix (CLTM) quantifies how much adding data from one language helps performance on another language within a specific speech task. By measuring performance changes during fine-tuning, it systematically reveals if cross-lingual transfer is language-dependent or agnostic across different tasks like gender recognition and speaker verification.